model1-thesis-4 – AI Model by UchihaMadara | AlphaNeural AI

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UchihaMadara/
model1-thesis-4

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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model1-thesis-4

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1362
Precision: 0.4257
Recall: 0.4678
F1: 0.4458
Accuracy: 0.6453

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	45	1.1491	0.2860	0.4992	0.3637	0.5491
No log	2.0	90	1.0264	0.3661	0.4334	0.3969	0.6192
No log	3.0	135	1.0848	0.3885	0.4455	0.4150	0.6284
No log	4.0	180	1.1257	0.4100	0.4896	0.4462	0.6408
No log	5.0	225	1.1362	0.4257	0.4678	0.4458	0.6453

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2